Lovelace, R orcid.org/0000-0001-5679-6536 (2017) David Boyce and Huw Williams, Forecasting urban travel: Past, present and future. Environment and Planning B: Planning and Design, 44 (1). pp. 184-186. ISSN 0265-8135
Abstract
Urban Travel is an imposing book. Its 600+ pages are written in academic prose, interspersed with detailed quotations, high-quality graphics and a smattering of mathematics, deliberately placed in each chapter’s meticulous endnotes to increase readability. The chapters are ordered roughly chronologically, covering the entire gamut of computational transport forecasting models from the early developments in the US and UK (Chapters 2 and 3) through discrete choice modelling approaches (Chapters 4 and 5), activity-based and network equilibrium approaches (Chapters 6 and 7), the practice of travel forecasting (Chapters 8 and 9) to computational aspects of the field (Chapter 10) and prospects for the future (Chapter 11). The introductory and concluding chapters astutely synthesise these substantial strands of thought into a single narrative.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author, 2016. Published by SAGE Publications. This is an author produced version of a paper published in Environment and Planning B: Planning and Design. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | transport modelling; transport; modelling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Department of Transport RM5019 SO7766 Phase 2 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jul 2016 12:47 |
Last Modified: | 14 Apr 2017 16:27 |
Published Version: | https://doi.org/10.1177/0265813516655644 |
Status: | Published |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/0265813516655644 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102373 |